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Skellefteå Municipality

Municipality
Skellefteå, Sweden

Skellefteå Municipality relied heavily on manual intervention to highlight material considered relevant information. They analyzed their statistics for this purpose but lacked the ability to deliver personalized information in real-time to different visitors.

Skellefteå Municipality
S
49%
Click-through Rate
Quick links provide 25-49% clicks and news recommendations provide 23-30% clicks from those who start a search.
20%
More Reading
Related news provides 15-20% more reading of content that the municipality continuously invests resources in creating.
Challenges

Skellefteå Municipality relied on manual intervention to highlight relevant material and lacked the ability to deliver personalized information in real-time.

Manual Intervention for Content Highlighting

The municipality spent a lot of time manually analyzing statistics and highlighting material considered relevant information.

No Real-time Personalization

There was no ability to deliver personalized information in real-time to different visitors based on their behavior.

Long Click Paths to the Landing Page

Visitors had to navigate through several steps to reach the information they sought, which impaired the user experience.

Solution

Popular Pages

Quick links under the heading Popular Pages in various places on the intranet and the external website.

Search Suggestions

The municipality uses adaptive search suggestions to enhance the user experience in the internal search function and guide visitors correctly by suggesting search terms when the visitor starts typing in the search field. The AI model knows which page the visitor is on when the search is made and also knows which pages most visitors are heading to from that point. The e-services hosted by OpenE have been indexed and added to the search suggestions.

Related News

When a visitor finishes reading a news article, rek.ai recommends two new relevant news articles to inspire more reading.

On our new platform, we use rek.ai to present popular pages, e-service suggestions, search suggestions, and related news. We see great potential in the solution and look forward to developing the website with more AI functionality.
M
Maria Holm
Communications Strategist Skellefteå Municipality, Skellefteå Municipality
Results
AI enhances the user-friendliness of the website and more are inspired to access information they might otherwise have missed, both in link collections and under related news.
Quick links provide 25-49% clicks and news recommendations provide 23-30% clicks from those who start a search.
Related news provides 15-20% more reading of content that the municipality continuously invests resources in creating.
Maria Holm and her team are very satisfied so far and they are eager to continue developing their websites with more AI functionality that has great potential.
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